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Don’t Follow the Money; Follow the Customer!

Bill Schmarzo - Dell EMC

Check out “ The New Normal: Big Data Business Model Disintermediation and Disruption ” for more details on business model disruption and customer disintermediation. eBay: One of the world’s most valuable retailer has no inventory. 80% of customers want a personalized experience from their retailer.

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How to Take Your Business to The Next Level with Data Intelligence

erwin

Aside from these, these data intelligence tools also provide healthcare institutions with an encompassing view of the hospital and care critical data that hospitals can use to improve the quality and level of service and increase their economic efficiency. How Business Benefits from Data Intelligence. Expanding big data.

Analytics 103
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Don’t Follow the Money; Follow the Customer!

Bill Schmarzo - Dell EMC

Check out “ The New Normal: Big Data Business Model Disintermediation and Disruption ” for more details on business model disruption and customer disintermediation. eBay: One of the world’s most valuable retailer has no inventory. 80% of customers want a personalized experience from their retailer.

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Anomaly detection in machine learning: Finding outliers for optimization of business functions

IBM Big Data Hub

Anomalies are not inherently bad, but being aware of them, and having data to put them in context, is integral to understanding and protecting your business. The challenge for IT departments working in data science is making sense of expanding and ever-changing data points.

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Top 6 Kubernetes use cases

IBM Big Data Hub

But Docker lacked an automated “orchestration” tool, which made it time-consuming and complex for data science teams to scale applications. HPC uses powerful processors at extremely high speeds to make instantaneous data-driven decisions. For instance, large retail e-commerce websites consist of many microservices.

Cloud 108
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How to choose the best AI platform

IBM Big Data Hub

AI platforms offer a wide range of capabilities that can help organizations streamline operations, make data-driven decisions, deploy AI applications effectively and achieve competitive advantages. Visual modeling: Combine visual data science with open source libraries and notebook-based interfaces on a unified data and AI studio.

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Foundational models at the edge

IBM Big Data Hub

Another key vector is the increasing importance of computing at the enterprise edge, such as industrial locations, manufacturing floors, retail stores, telco edge sites, etc. More specifically, AI at the enterprise edge enables the processing of data where work is being performed for near real-time analysis.

Cloud 83